Federated learning-based CT liver tumor detection using a teacher‒student SANet with semisupervised learning

Federated learning-based CT liver tumor detection using a teacher‒student SANet with semisupervised learning

Abstract Background Detecting liver tumors via computed tomography (CT) scans is a critical but labor-intensive task. Extensive expert annotations are needed to train effective machine learning models. This study presents an innovative approach that leverages federated learning in combination with a...

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Bibliographic Details
Main Authors: Cheng-Shun Lee, Jenn-Jier James Lien, Kai Chain, Li-Chun Huang, Zhong-Wei Hsu
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Federated learning
Medical image analysis
Liver tumors
Semisupervised learning
Teacher–student framework
Online Access:https://doi.org/10.1186/s12880-025-01761-7
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https://doi.org/10.1186/s12880-025-01761-7

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